An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis by Jean-Jacques Lemaire, Rémi Chaix, Aigerim Dautkulova, Anna Sontheimer, Jérôme Coste, Ana-Raquel Marques, Adrien Wohrer, Carine Chassain, Omar Ouachikh, Omar Ait-Aider, Denys Fontaine

“…Here we took a transdisciplinary approach to build a new deep-brain MRI architecture atlas drawing on advanced clinical experience of MRI-based deep brain mapping. …”
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Differentiating low- and high-proliferative soft tissue sarcomas using conventional imaging features and radiomics on MRI by Fabian Schmitz, Hendrik Voigtländer, Dimitrios Strauss, Heinz-Peter Schlemmer, Hans-Ulrich Kauczor, Hyungseok Jang, Sam Sedaghat

“…Several radiomics features, and various conventional imaging features on MRI like tumor heterogeneity, peritumoral edema, peritumoral contrast-enhancement, percentage of ill-defined tumor margins, Apparent Diffusion Coefficient (ADC) values, and area under the curve (AUC) in contrast dynamics were collected. …”
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Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform by Shanshan Chen, Bensheng Qiu, Feng Zhao, Chao Li, Hongwei Du

“…Compressed sensing (CS) has been applied to accelerate magnetic resonance imaging (MRI) for many years. Due to the lack of translation invariance of the wavelet basis, undersampled MRI reconstruction based on discrete wavelet transform may result in serious artifacts. …”
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Depth-electrode stimulation and concurrent functional MRI in humans: Factors influencing heating with body coil transmission by Hiroyuki Oya, Ralph Adolphs, Matthew A. Howard, J. Michael Tyszka

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Functional MRI-guided microsurgery of intracranial arteriovenous malformations: study protocol for a randomised controlled trial by Shuo Wang, Yuanli Zhao, Jun Wu, Bing Zhao, Yong Cao

“…In the fMRI-guided group, fMRI mapping of an eloquent cortex in all AVMs will be identified. …”
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Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma by Anahita Fathi Kazerooni, Adam Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana M. Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R. Lueder, Saksham Phul, Mateusz Koptyra, Phillip B. Storm, Jeffrey B. Ware, Yuanquan Song, Christos Davatzikos, Jessica B. Foster, Sabine Mueller, Michael J. Fisher, Adam C. Resnick, Ali Nabavizadeh

“…Here, we present a radiogenomic analysis of pLGGs, integrating MRI and RNA sequencing data. We identify three immunologically distinct clusters, with one group characterized by increased immune activity and poorer prognosis, indicating potential benefit from immunotherapies. …”
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Assessment of Lower Limb Muscle Volume Using 3D Ultrasonography: Validity and Reliability Compared to MRI by Paul Ritsche, Romina Ledergerber, Michele Pansini, Francesco Santini, Oliver Faude

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The Neurodevelopmental Dynamics of Multilingual Experience During Childhood: A Longitudinal Behavioral, Structural, and Functional MRI Study by Pasquale Anthony Della Rosa, Gerda Videsott, Virginia Maria Borsa, Eleonora Catricalà, Nicolò Pecco, Federica Alemanno, Matteo Canini, Andrea Falini, Rita Franceschini, Jubin Abutalebi

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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

Subjects: “…Dynamic Contrast Enhanced MRI…”
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A Methodology for Registration of a Histological Slide and In Vivo MRI Volume Based on Optimizing Mutual Information by Charles R. Meyer, Bradford A. Moffat, Kyle K. Kuszpit, Peyton L. Bland, Paul E. Mckeever, Timothy D. Johnson, Thomas L. Chenevert, Alnawaz Rehemtulla, Brian D. Ross

“…Because the spatial resolution of the in vivo MRI is limited, we add the step of obtaining a high spatial resolution, ex vivo MRI in situ for intermediate registration. …”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

“…In this article, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI brain scans: FLAIR, T1, T1ce, and T2. Additionally, one or two segmentation masks (ground truth) are provided for each sample. …”
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Extranodal Rosai-Dorfman Disease Involving the Left Atrium: Cardiac MRI, CT, and PET Scan Findings by Vistasp J. Daruwalla, Keyur Parekh, Hassan Tahir, Jeremy D. Collins, James Carr

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Multimodal MRI Neuroimaging Biomarkers for Cognitive Normal Adults, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease by Ai-Ling Lin, Angela R. Laird, Peter T. Fox, Jia-Hong Gao

“…Multimodal magnetic resonance imaging (MRI) techniques have been developed to noninvasively measure structural, metabolic, hemodynamic and functional changes of the brain. …”
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Micro-MRI at 11.7 T of a Murine Brain Tumor Model Using Delayed Contrast Enhancement by Rex A. Moats, Sendhil Velan-Mullan, Russell Jacobs, Ignacio Gonzalez-Gomez, David J. Dubowitz, Takashi Taga, Vazgen Khankaldyyan, Linda Schultz, Scott Fraser, Marvin D. Nelson, Walter E. Laug

“…In orthotopically transplanted murine models of brain tumors, cross-section micro-MRI allows for visualization and measurement of the physically inaccessible tumors. …”
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Application of cellular microstructural diffusion MRI (cell size imaging) in rectal lesions: a preliminary study by Peisi Kou, Liangjie Lin, Ying Li, Hui Qin, Kun Zhang, Wenhua Zhang, Juan Li, Yong Zhang, Jingliang Cheng

“…All subjects underwent MRI scans including conventional diffusion weighted imaging (DWI) and the IMPULSED MRI scans of oscillating gradient spin-echo (OGSE) and pulse gradient spin-echo (PGSE) sequences. …”
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Analysis of MRI imaging characteristics in 10 cases of adult granulosa cell tumor with normal estrogen levels by Wei Weng, Yaomeng Chen, Ze Liu, Weiqian Chen, Jiejie Hu, Huihui Chen, Xindian Pan, Hai Wu, Xinle Chi

“…We retrospectively analyzed the MRI features of primary and metastatic lesions from aspects such as shape, edge characteristics, MRI signal, and enhancement features. …”
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3D CT/MRI fusion image-assisted treatment of lumbar burst fractures with laminar fractures by Zhenhui Zhang, Qiangqiang Pan, Qingde Wang, Wei Mei, Xuyi Chen

“…Abstract Background Lumbar burst fracture combined with lamina fracture is a special type of spinal fracture. Neither CT nor MRI can accurately determine it. The present study aims to investigate the clinical value of 3D CT/MRI fusion imaging in the treatment of lumbar burst fracture complicated with lamina fracture. …”
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A pre-clinical MRI-guided all-in-one focused ultrasound system for murine brain studies by Tarana Parvez Kaovasia, Sarah Duclos, Dinank Gupta, Kourosh Kalayeh, Mario Fabiilli, Douglas C. Noll, Jonathan Sukovich, Aditya Pandey, Zhen Xu, Timothy L. Hall

Subjects: “…Magnetic resonance imaging (MRI)…”
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Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods by Minghui Lv, Liping Wang, Ranran Huang, Aijie Wang, Yunxin Li, Guowei Zhang

“…The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI) by applying machine learning methods. fMRI indices such as the amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree of centrality (DC), and sMRI indices such as gray matter volume (GMV), white matter volume (WMV), and cortical thickness were extracted from each brain region. …”
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Insulin Resistance Increases MRI-Estimated Pancreatic Fat in Nonalcoholic Fatty Liver Disease and Normal Controls by Niraj S. Patel, Michael R. Peterson, Grace Y. Lin, Ariel Feldstein, Bernd Schnabl, Ricki Bettencourt, Ekihiro Seki, Claude B. Sirlin, Rohit Loomba

“…Using a novel magnetic resonance imaging (MRI) based biomarker, the proton-density-fat-fraction (MRI-PDFF), we compared pancreatic fat content in patients with biopsy-proven NAFLD to healthy controls and determined whether it is associated with insulin resistance and liver fat content. …”
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